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Byju's Placement Papers 2025

This page is a working set of BYJU’S placement papers from 2025: from student reports questions, the 2025 online assessment pattern, and step-by-step solutions. Use it to see what BYJU’S actually asked in the latest cycle, how hard the rounds were, and which themes (DSA, system design, aptitude, or role-specific topics) mattered most. Practice the problems below under timed conditions, then cross-check with the interview and preparation guides if you are targeting an upcoming BYJU’S drive.

Section Questions Time Difficulty
Coding Problems 2-3 90 min Medium-Hard

BYJU’S Placement Papers 2025 - actual questions & solutions

Section titled “BYJU’S Placement Papers 2025 - actual questions & solutions”

This section contains practice questions styled on BYJU’S placement papers 2025 (recent-cycle pattern), with worked solutions. Use them as timed sectional drills - from student reports drives vary by college and role, so treat this as a high-signal practice bank, not an official paper dump.

Show solution

Problem Statement: Return the level-order traversal of a binary tree.

Example:

Input: [3,9,20,null,null,15,7]
Output: [[3],[9,20],[15,7]]

Solution (Java):

public List<List<Integer>> levelOrder(TreeNode root) {
List<List<Integer>> res = new ArrayList<>();
if (root == null) return res;
Queue<TreeNode> q = new ArrayDeque<>();
q.add(root);
while (!q.isEmpty()) {
int sz = q.size();
List<Integer> level = new ArrayList<>();
for (int i = 0; i < sz; i++) {
TreeNode n = q.poll();
level.add(n.val);
if (n.left != null) q.add(n.left);
if (n.right != null) q.add(n.right);
}
res.add(level);
}
return res;
}

Time Complexity: O(n)
Space Complexity: O(n)

Show solution

Problem Statement: Find the contiguous subarray with the largest sum.

Example:

Input: [-2, 1, -3, 4, -1, 2, 1, -5, 4]
Output: 6 // [4, -1, 2, 1]

Solution (Java):

public int maxSubArray(int[] nums) {
int best = nums[0], cur = nums[0];
for (int i = 1; i < nums.length; i++) {
cur = Math.max(nums[i], cur + nums[i]);
best = Math.max(best, cur);
}
return best;
}

Time Complexity: O(n)
Space Complexity: O(1)

Show solution

Problem Statement: Return true if the string reads the same forward and backward (ignore case).

Example:

Input: "Level"
Output: true

Solution (Java):

public boolean isPalindrome(String s) {
s = s.toLowerCase();
int i = 0, j = s.length() - 1;
while (i < j) {
if (s.charAt(i++) != s.charAt(j--)) return false;
}
return true;
}

Time Complexity: O(n)
Space Complexity: O(1)

Show solution

Problem Statement: Return true if the linked list has a cycle.

Example:

Input: 3→2→0→-4→(back to 2)
Output: true

Solution (Java):

public boolean hasCycle(ListNode head) {
ListNode slow = head, fast = head;
while (fast != null && fast.next != null) {
slow = slow.next;
fast = fast.next.next;
if (slow == fast) return true;
}
return false;
}

Time Complexity: O(n)
Space Complexity: O(1)

Show solution

Problem Statement: Given a string, return it reversed.

Example:

Input: "placement"
Output: "tnemecalp"

Solution (Java):

public String reverse(String s) {
return new StringBuilder(s).reverse().toString();
}

Time Complexity: O(n)
Space Complexity: O(n)

Show solution

Problem Statement: Given an array of integers and a target, return indices of two numbers that add up to target.

Example:

Input: nums = [2, 7, 11, 15], target = 9
Output: [0, 1]

Solution (Java):

public int[] twoSum(int[] nums, int target) {
Map<Integer, Integer> map = new HashMap<>();
for (int i = 0; i < nums.length; i++) {
int need = target - nums[i];
if (map.containsKey(need)) return new int[]{map.get(need), i};
map.put(nums[i], i);
}
return new int[]{};
}

Time Complexity: O(n)
Space Complexity: O(n)

Show solution

Problem Statement: Return the first non-repeating character in a string, or ‘_’ if none.

Example:

Input: "swiss"
Output: 'w'

Solution (Java):

public char firstUnique(String s) {
int[] freq = new int[256];
for (char c : s.toCharArray()) freq[c]++;
for (char c : s.toCharArray()) if (freq[c] == 1) return c;
return '_';
}

Time Complexity: O(n)
Space Complexity: O(1)

Q8: Which SQL clause filters grouped rows after GROUP BY?

Solution:

HAVING filters aggregates; WHERE filters rows before grouping.

Answer: HAVING

Q9: Worst-case time complexity of quicksort is?

Solution:

Unbalanced partitions (already sorted with bad pivot) → O(n²).

Answer: O(n²)

Q10: In OOP, hiding internal details and showing only essential features is called?

Solution:

This is the definition of Encapsulation (often paired with abstraction in interviews).

Answer: Encapsulation

Q11: Virtual memory is typically implemented using?

Solution:

OS uses demand paging (and sometimes segmentation) to implement virtual memory.

Answer: Demand paging

Key insights from 2025 BYJU’S Online Assessment

Section titled “Key insights from 2025 BYJU’S Online Assessment”
  1. Coding Section is Critical: Must solve 2-3 coding problems correctly to advance
  2. Personalized Learning Focus: Strong emphasis on ed-tech platform design, adaptive learning systems, AI-powered personalization
  3. Time Management: 2-3 problems in 90 minutes requires excellent speed and accuracy
  4. Success Rate: Only 10-15% cleared OA and advanced to interviews
  5. Platform: BYJU’S assessment platform or HackerRank
  6. Focus Areas: Arrays, trees, graphs, dynamic programming, personalized learning systems, AI-powered ed-tech
  7. Enhanced Emphasis: Optimal solutions, AI-powered personalization, and adaptive learning systems

Based on recent candidate experiences from 2025 BYJU’S interviews:

2025 Interview Process:

  1. Online Assessment (90 minutes): 2-3 coding problems
  2. Technical Phone Screen (45-60 minutes): Coding problems, algorithm discussions, ed-tech concepts, AI/ML
  3. Onsite/Virtual Interviews (4-5 rounds, 45-60 minutes each):
  • Coding rounds (2-3): Algorithms, data structures, problem-solving
  • System Design rounds: AI-powered ed-tech platforms, adaptive learning systems, personalized learning paths, content delivery
  • Behavioral rounds: Problem-solving approach, education passion, impact, AI/ML passion

2025 Interview Trends:

  • Increased emphasis on AI-powered personalization and adaptive learning systems
  • More focus on optimal solutions and modern ed-tech technologies
  • Enhanced behavioral questions about innovation and education passion
  • Questions about AI/ML applications in ed-tech and personalized learning

Common 2025 Interview Topics:

  • Coding: Arrays, strings, trees, graphs, dynamic programming, adaptive learning algorithms
  • System Design: AI-powered ed-tech platforms, adaptive learning systems, personalized learning paths, content delivery
  • Behavioral: Problem-solving, education passion, teamwork, impact, AI/ML passion
  • BYJU’S Technologies: Ed-tech platforms, AI-powered features, adaptive learning systems, personalized learning paths

Success Tips:

  • Strong coding performance is essential - solve problems optimally
  • Understand ed-tech concepts, AI-powered personalization, and adaptive learning systems
  • Practice system design for AI-powered ed-tech platforms and adaptive learning systems
  • Prepare examples demonstrating problem-solving and education passion
  • Learn BYJU’S products, AI features, and ed-tech technologies
  • Practice explaining your thought process clearly

For detailed interview experiences from 2025, visit BYJU’S Interview Experience page.

Preparation tips for BYJU’S 2025 pattern

Section titled “Preparation tips for BYJU’S 2025 pattern”
  1. Master Coding Fundamentals: Focus on solving 2-3 coding problems correctly - arrays, trees, graphs, DP
  2. Ed-Tech Expertise: Strong understanding of AI-powered ed-tech systems, adaptive learning systems, personalized learning paths
  3. Practice Previous Year Papers: Solve BYJU’S OA papers from 2020-2025 to understand evolving patterns
  4. Time Management: Practice completing 2-3 coding problems in 90 minutes
  5. LeetCode Practice: Solve 200+ LeetCode problems focusing on arrays, strings, trees, graphs (medium-hard difficulty)
  6. Ed-Tech Focus: Practice problems related to ed-tech systems and adaptive learning
  7. System Design Mastery: Learn AI-powered ed-tech platform design, adaptive learning systems, personalized learning paths
  8. BYJU’S Technologies: Learn ed-tech platforms, AI-powered features, adaptive learning systems, personalized learning paths
  9. Behavioral Preparation: Prepare examples using STAR format - problem-solving, education passion, AI/ML passion
  10. Mock Tests: Take timed practice tests to improve speed and accuracy
  11. AI/ML in Ed-Tech: Understand AI/ML applications in ed-tech and personalized learning

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Practice 2025 papers to stay updated with latest patterns and prepare effectively!